Data Science Intern for a Fintech Start-up
Portée du projet
Catégories
Modélisation des données Opérations Investissement Apprentissage automatique Intelligence artificielleCompétences
natural language processing (nlp) data pipelines parsing data science financial technology (fintech) python (programming language) willingness to learn hypertext markup language (html) extract transform load (etl) nltk (nlp analysis)Number of positions available:1
Our team is seeking one Data Science/ML/AI students who are passionate and creative about Natural Language Processing(NLP). We want this student to be entrepreneurial and willing to learn new ML python libraries. This is an incredible opportunity for any upper year student(s) that are looking to build their resume and portfolio. The student will have the chance to execute on this project and more importantly learn from four professionals.
A bit more detail on the project:
Background: This student will have the opportunity to develop the backend application that uses python libraries such as NLTK and BS4.
The goal of this project is for the student to algorithmically capture information from unstructured text or table data. The student will be working closely with the CEO of the company.
If you like the sound of our culture and are ready to tackle this incredible challenge with us, then we'd love to hear from you.
- Algorithmically parse the correct text from an HTML file
- Algorithmically parse correct values from HTML tables
- Build functions as a service using 1 and 2 logic.
- If time permits create an efficient ETL data pipeline
We expect to provide 10- 15h of mentorship and supervision.
À propos de l'entreprise
Ubineer is a leading AI financial technology company focused on delivering productivity to financial decision makers. Our goal is to be the primary source for knowledge management, collaboration and insights in the investment industry. Our mission is to help financial decision makers optimize the quality and speed of their investment lifecycle.